Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Globally Optimal Training of Neural Networks with Threshold Activation Functions
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.03382.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-13T02:03:42.456988Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T02:07:07.936411Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e8aeb414-abc4-4ea3-abae-ba4a31d98818 · inbound
Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning cites this paper.
Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning Globally Optimal Training of Neural Networks with Threshold Activation Functions
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T03:29:22.045809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 39068377-a22e-4d05-b16b-c135627799bd · inbound
A Composite Activation Function for Learning Stable Binary Representations cites this paper.
A Composite Activation Function for Learning Stable Binary Representations Globally Optimal Training of Neural Networks with Threshold Activation Functions
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:07:07.939635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.